add AMD GPU oversubscription check

mirgecom/array_context.py

@@ -33,7 +33,7 @@
 THE SOFTWARE.
 """
 
-from typing import Type, Dict, Any
+from typing import Type, Dict, Any, Tuple
 import os
 import logging
 
@@ -183,8 +183,7 @@ def _check_gpu_oversubscription(actx: ArrayContext) -> None:
     """
     Check whether multiple ranks are running on the same GPU on each node.
 
-    Only works with CUDA devices currently due to the use of the
-    PCI_DOMAIN_ID_NV extension.
+    Only works with CUDA or AMD devices currently.
     """
     if not actx_class_is_distributed(type(actx)):
         return
@@ -201,29 +200,37 @@ def _check_gpu_oversubscription(actx: ArrayContext) -> None:
 
     dev = actx.queue.device
 
-    # This check only works with Nvidia GPUs
-    from pyopencl.characterize import nv_compute_capability
-    if nv_compute_capability(dev) is None:
+    # Only check GPU devices
+    if not (dev.type & cl.device_type.GPU):
         return
 
-    from mirgecom.mpi import shared_split_comm_world
-
-    with shared_split_comm_world() as node_comm:
+    from pyopencl.characterize import nv_compute_capability
+    if nv_compute_capability(dev) is not None:
         try:
             domain_id = hex(dev.pci_domain_id_nv)
         except (cl._cl.LogicError, AttributeError):
             from warnings import warn
             warn("Cannot detect whether multiple ranks are running on the"
                  " same GPU because it requires Nvidia GPUs running with"
                  " pyopencl>2021.1.1 and (Nvidia CL or pocl>1.6).")
-            return
-
-        node_rank = node_comm.Get_rank()
+            raise
 
         bus_id = hex(dev.pci_bus_id_nv)
         slot_id = hex(dev.pci_slot_id_nv)
+        dev_id: Tuple[Any, ...] = (domain_id, bus_id, slot_id)
 
-        dev_id = (domain_id, bus_id, slot_id)
+    elif dev.platform.vendor.startswith("Advanced Micro"):
+        dev_id = (dev.topology_amd.bus,)
+    else:
+        from warnings import warn
+        warn("Cannot detect whether multiple ranks are running on the"
+             " same GPU.")
+        return
+
+    from mirgecom.mpi import shared_split_comm_world
+
+    with shared_split_comm_world() as node_comm:
+        node_rank = node_comm.Get_rank()
 
         dev_ids = node_comm.gather(dev_id, root=0)